HyperAI
الرئيسيةالأخبارأحدث الأوراق البحثيةالدروسمجموعات البياناتالموسوعةSOTAنماذج LLMلوحة الأداء GPUالفعاليات
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HyperAI

Point Cloud Registration On Kitti Fcgf

المقاييس

RE (all)
Recall (0.6m, 5 degrees)
TE (all)

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
RE (all)
Recall (0.6m, 5 degrees)
TE (all)
Paper TitleRepository
PCAM-Sparse + ICP1.0497.40.17PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
FGR-0.2-Fast Global Registration
FCGF-98.2-Fully Convolutional Geometric Features
PCAM-soft + ICP0.79980.12PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
PCAM-Sparse1.1796.50.22PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
Exhaustive Grid Search-94.59-Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark
RANSAC-34.2-Fast Point Feature Histograms (FPFH) for 3D Registration
DGR (RE (all), TE(all) are reported in PCAM)1.6296.90.34Deep Global Registration
PCAM - Soft1.0097.20.18PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
GeoTransformer-99.5-Geometric Transformer for Fast and Robust Point Cloud Registration
DGR + ICP (RE (all), TE(all) are reported in PCAM)1.4398.20.16Deep Global Registration
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